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通过树装饰对正常网络和杂交网络进行渐近枚举。

Asymptotic Enumeration of Normal and Hybridization Networks via Tree Decoration.

作者信息

Fuchs Michael, Steel Mike, Zhang Qiang

机构信息

Department of Mathematical Sciences, National Chengchi University, Taipei, 116, Taiwan.

Biomathematics Research Centre, University of Canterbury, Christchurch, New Zealand.

出版信息

Bull Math Biol. 2025 May 7;87(6):69. doi: 10.1007/s11538-025-01444-y.

Abstract

Phylogenetic networks provide a more general description of evolutionary relationships than rooted phylogenetic trees. One way to produce a phylogenetic network is to randomly place k arcs between the edges of a rooted binary phylogenetic tree with n leaves. The resulting directed graph may fail to be a phylogenetic network, and even when it is it may fail to be a tree-child or normal network. In this paper, we first show that if k is fixed, the proportion of arc placements that result in a normal network tends to 1 as n grows. From this result, the asymptotic enumeration of normal networks becomes straightforward and provides a transparent meaning to the combinatorial terms that arise. Moreover, the approach extends to allow k to grow with n (at the rate ), which was not handled in earlier work. We also investigate a subclass of normal networks of particular relevance in biology (hybridization networks) and establish that the same asymptotic results apply.

摘要

系统发育网络比有根系统发育树能更全面地描述进化关系。生成系统发育网络的一种方法是在具有(n)个叶子节点的有根二叉系统发育树的边之间随机放置(k)条弧。得到的有向图可能不是系统发育网络,即使它是系统发育网络,也可能不是树孩子网络或正规网络。在本文中,我们首先表明,如果(k)是固定的,随着(n)的增长,导致正规网络的弧放置比例趋于(1)。基于这个结果,正规网络的渐近枚举变得直接明了,并为出现的组合项赋予了清晰的含义。此外,该方法可以扩展到允许(k)随(n)增长(增长率为 ),这在早期工作中并未涉及。我们还研究了生物学中特别相关的正规网络子类(杂交网络),并确定相同的渐近结果适用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f6c6/12058904/d96ad01be01f/11538_2025_1444_Fig1_HTML.jpg

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